by BAAI
BAAI/bge-reranker-v2-m3 is a lightweight multilingual reranking model. It is developed based on the bge-m3 model, offering strong multilingual capabilities, easy deployment, and fast inference. The model takes a query and documents as input and directly outputs similarity scores instead of embedding vectors. It is suitable for multilingual scenarios and performs particularly well in both Chinese and English processing.
| Input | $0.03 / 1M tokens |
| Output | $0.03 / 1M tokens |
| Modalities | text, image |
Use BAAI/bge-reranker-v2-m3 via the AIHubMix unified API — one interface for every major LLM.